How We Audit
The five steps in full, and what each one produces.
Read How We AuditThe third step of an audit: documented processes are assessed for what AI can do reliably against them and, as importantly, what it cannot. Each candidate is weighed on how often it repeats, what the manual version costs in effort, whether the data it needs exists in a usable state and what regulatory exposure attaches to it. What comes out is a prioritised roadmap, each opportunity carrying the reason it sits where it sits.
Candidates that are technically possible but not worth doing are named as such and set aside with the reason recorded, because a list that says yes to everything is not a prioritised list. EU AI Act and GDPR obligations are assessed here, inside the ranking, rather than added as a review at the end.
The five steps in full, and what each one produces.
Read How We AuditThe diagnostic this step sits inside.
More on AI auditWhat a ranked opportunity becomes once it is worth building.
More on AI workflowHanding a repeatable piece of work to a system instead of a person. An audit separates the processes worth…
More on AutomationA training programme built from an organisation's own processes and documents, rather than a published…
More on Bespoke / in-house trainingEvery term used across this site's training courses, its audit methodology and the two regulations behind them, in one place.
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